Computational Genomics Specialist

Company Name:
Medical Science & Computing, Inc.
Medical Science & Computing (MSC) is an exciting growth oriented company, dedicated to providing mission critical scientific and technical services to the Federal Government. We have a distinguished history of supporting the National Institutes of Health (NIH) and other government agencies. MSC offers a dynamic and upbeat work environment, excellent benefits and career growth opportunities.

We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, Medical and Flexible Spending Accounts, Pre-Tax Transit Assistance and tuition reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!

MSC is searching for a highly motivated Computational Biology Specialist to support the National Institutes of Health (NIH). The position is part of a multi-disciplinary team of scientists who provide computational biology support, training, and consultation services to researchers. This opportunity is a full-time position with MSC and is on-site in Hamilton, MT.

Work cooperatively with the current computational biology specialists to: Implement, design, develop, and innovate current and emerging computational biology and bioinformatics algorithms to analyze, interpret, visualize, and illustrate original scientific data. Enter into long-term scientific collaborations that include the potential for authorships and acknowledgements in publications. Document and manage collaborative and consultant assistance and training provided to researchers. Provide on-site, on-demand support and troubleshooting to researchers in the use of computational biology software. Research, design, and deliver training materials, courses, presentations, and workshops to effectively communicate, promote, and advance computational biology techniques and software usage by NIH researchers. Remain abreast on current and emerging computational biology technologies and tools.

Required Technical Skills Ph.D. (or other graduate degree with equivalent experience) in computational biology, bioinformatics, or related life, physical, or computational sciences with at least one publication demonstrating the use or development of computational biology applications. Demonstrated proficiency in the use of a broad spectrum of open-source bioinformatics software, including applications employing ontologies, pathways, networks, phylogenetics, and/or structural biology at both the individual gene and genomic scales. Experience with Next Generation sequence data analysis using tools such as Tophat/Cufflinks, BWA, MIRA4, Velvet, SOAPdenovo, GATK, IGV, ANNOVAR, SnpEff, Trinity, Samtools, BAMtools, SSAHA2, R Bioconductor, Newbler, 454 Suite, CLC Workbench, Annovar, snpEff, QIIME, mothur, MACS Proficiency in the use of UNIX/Linux and its command-line environment, including scripting (shell, Perl, Python, Ruby, Tcl/Tk, etc.). Familiarity with common methods of statistical analysis using R, SAS, or related software. Proficiency in the use of personal computers running the Macintosh OS X and/or Microsoft Windows operating systems.
Required "Soft" Skills Strong interpersonal, presentation, written, and oral communication skills to convey computational biology principles and concepts to non-specialists in a clear and precise manner and advise on relevant software and tools with a dedication to customer satisfaction. Attention to detail, including time and project management skills, to track, update, and generate reports on ongoing projects. Ability to work both independently and as part of an in-person and remote multi-disciplinary team with a high level of personal and professional drive and initiative. Excellent troubleshooting and problem-solving skills, including the ability to learn new software quickly.
Additional Desired Skills Familiarity with a high-performance parallel computing environment and understanding of problems and bottlenecks associated with storage and management of genomic-scale data. Familiarity with algorithms and algorithm development for bioinformatics, including composing, editing, and compiling open-source code. Strong background in molecular/cellular biology, immunology, and/or virology, including "bench" experience.
Medical Science & Computing is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected Veteran status.

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